What problem does it solve? Marketing tasks repeatedly require the same foundational information — target audience, brand voice, competitive landscape, customer language — forcing users to re-explain context for every copywriting, content, or strategy request. ## Core Features & Use Cases - Three Operating Modes: Auto-draft a context document by scanning the codebase, run a guided interview section by section, or update an existing context file. - Fourteen Structured Sections: Covers product overview, personas, pain points, competitors, differentiation, objections, switching dynamics, customer verbatim language, brand voice, style guide, proof points, SEO context, and goals. - Completeness Validation: Includes a Python script that scores a marketing context file from 0-100 based on required section coverage, placeholder detection, and staleness warnings. - Use Case: Before running any marketing skill on a new project, ask for an auto-draft from the codebase, review the generated marketing-context.md, and let all downstream copywriting and strategy skills read from it. ## Quick Start Scan this repository and draft a marketing context document for my review.
